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Machine learning : an algorithmic perspective 2nd ed

Machine learning : an algorithmic perspective 2nd ed (Loan 22 times)

Material type
단행본
Personal Author
Marsland, Stephen.
Title Statement
Machine learning : an algorithmic perspective / Stephen Marsland.
판사항
2nd ed.
Publication, Distribution, etc
Boca Raton :   CRC Press,   c2015.  
Physical Medium
xx, 437 p. : ill. ; 27 cm.
Series Statement
Chapman & Hall/CRC machine learning & pattern recognition series
ISBN
9781466583283 1466583282
General Note
"A Chapman & Hall book."  
Content Notes
Introduction -- Preliminaries -- Neurons, neural networks, and linear discriminants -- The multi-layer perceptron -- Radial basis functions and splines -- Dimensionality reduction -- Probabilistic learning -- Support vector machines -- Optimisation and search -- Evolutionary learning -- Reinforcement learning -- Learning with trees -- Decision by committee: ensemble learning -- Unsupervised learning -- Markov chain Monte Carlo (MCMC) methods -- Graphical models -- Symmetric weights and deep belief networks -- Gaussian processes -- Python.
Bibliography, Etc. Note
Includes bibliographical references and index.
Subject Added Entry-Topical Term
Machine learning. Algorithms.
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008 150114s2015 flua b 001 0 eng d
020 ▼a 9781466583283 ▼q (hardcover : alk. paper)
020 ▼a 1466583282 ▼q (hardcover : alk. paper)
035 ▼a (KERIS)REF000017630249
040 ▼a MBB ▼b eng ▼c MBB ▼d MBB ▼d MEAUC ▼d YDXCP ▼d GZN ▼d OCLCQ ▼d 211009
050 4 ▼a Q325.5 ▼b .M368 2015
082 0 4 ▼a 006.3/1 ▼2 23
084 ▼a 006.31 ▼2 DDCK
090 ▼a 006.31 ▼b M372m2
100 1 ▼a Marsland, Stephen.
245 1 0 ▼a Machine learning : ▼b an algorithmic perspective / ▼c Stephen Marsland.
250 ▼a 2nd ed.
260 ▼a Boca Raton : ▼b CRC Press, ▼c c2015.
300 ▼a xx, 437 p. : ▼b ill. ; ▼c 27 cm.
490 1 ▼a Chapman & Hall/CRC machine learning & pattern recognition series
500 ▼a "A Chapman & Hall book."
504 ▼a Includes bibliographical references and index.
505 0 0 ▼g Introduction -- ▼t Preliminaries -- ▼t Neurons, neural networks, and linear discriminants -- ▼t The multi-layer perceptron -- ▼t Radial basis functions and splines -- ▼t Dimensionality reduction -- ▼t Probabilistic learning -- ▼t Support vector machines -- ▼t Optimisation and search -- ▼t Evolutionary learning -- ▼t Reinforcement learning -- ▼t Learning with trees -- ▼t Decision by committee: ensemble learning -- ▼t Unsupervised learning -- ▼t Markov chain Monte Carlo (MCMC) methods -- ▼t Graphical models -- ▼t Symmetric weights and deep belief networks -- ▼t Gaussian processes -- ▼t Python.
650 0 ▼a Machine learning.
650 0 ▼a Algorithms.
740 0 2 ▼a Multi-layer perceptron.
830 0 ▼a Chapman & Hall/CRC machine learning & pattern recognition series.
945 ▼a KLPA

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Science & Engineering Library/Sci-Info(Stacks2)/ Call Number 006.31 M372m2 Accession No. 121231802 Availability Available Due Date Make a Reservation Service B M

Contents information

Table of Contents

Introduction. Linear Discriminants. The Multi-Layer Perceptron. Radial Basis Functions and Splines. Support Vector Machines. Learning with Trees. Decision by Committee: Ensemble Learning. Probability and Learning. Unsupervised Learning. Dimensionality Reduction. Optimization and Search. Evolutionary Learning. Reinforcement Learning. Markov Chain Monte Carlo (MCMC) Methods. Graphical Models. Python.


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